Join Coinbase as a Senior Machine Learning Engineer to build AI-powered systems for customer engagement.
Posted by employer 3 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Architect and deploy the multi-agent framework
- Own end-to-end project execution for complex ML initiatives
- Build and optimize AI-driven concierge chat and agent copilot experiences
- Develop systems to detect and manage bad actors
- Establish best practices for system design and coding standards
Must have
- 5+ years of professional experience in machine learning and software engineering
- Hands-on expertise with large language models and deep learning architectures
- Proficiency in Python
- Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling
- Proven ability to write technical design documents
Practical constraints
- Candidates may submit a maximum of 3 applications within a 6-month period
AI in the day-to-day
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Machine Learning Engineer at Coinbase, the individual will focus on designing and implementing AI systems that enhance customer support through chatbots and agent workflows. Key skills include expertise in large language models, deep learning, and proficiency in Python, with a strong emphasis on building scalable, production-grade ML services. This position is ideal for seasoned professionals with a background in machine learning and software engineering, particularly those experienced in conversational AI or NLP. The team operates in a fast-paced environment, emphasizing collaboration and innovation.
Joblaze insights
- Listed today — first seen on Joblaze October 17, 2026. Last confirmed on Coinbase's careers page October 17, 2026.
- Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
- Starts above 56% of 198 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 68 companies). See Python salary trends
- Python appears in 52.8% of 530 comparable senior ai/ml roles in United States; Generative AI appears in 1.3% of 530 comparable senior ai/ml roles in United States.
Quick facts
- Is the Senior Machine Learning Engineer, CX role remote?
- Yes — Coinbase lists this as a fully remote position.
- What's the salary range?
- Coinbase lists $191,250–$225,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Machine Learning Engineer, CX role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Learning, Generative AI, Large Language Models, NLP, Python.
- What seniority level is this role?
- Coinbase targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Machine Learning Engineer, CX role at Coinbase.
From the original posting
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively.
What you'll do:
- Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions.
- Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery.
- Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time.
- Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and safety at scale.
- Establish best practices for system design, coding standards, and evaluation frameworks for ML/AI systems, mentoring team members on architectural decisions and modern ML development workflows.
Required Skills and Experience:
- 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale.
- Hands-on expertise with large language models, deep learning architectures, and the generative AI ecosystem (LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock), with demonstrated ability to build multi-agent or LLM orchestration systems.
- Proficiency in Python with the ability to write clean, maintainable, and highly tested production code for ML applications.
- Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling, with the ability to ramp quickly on adjacent areas.
- Proven ability to write technical design documents and communicate complex ML concepts clearly to non-technical stakeholders across product, design, and CX teams.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.
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Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
Standard company text repeated across Coinbase's postings is omitted here.